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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-3066</issn><issn pub-type="epub">3042-3066</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
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    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48313/scodm.v2i1.29</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Supply chain, Data mining, Clustering technique.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Evaluating and Selecting Suppliers in the Setareh Flour Milling Company Supply Chain Using Clustering Techniques</article-title><subtitle>Evaluating and Selecting Suppliers in the Setareh Flour Milling Company Supply Chain Using Clustering Techniques</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Shojaie </surname>
		<given-names>Amir abbas </given-names>
	</name>
	<aff>Institute of Communications, Transportation and Logistics, ST.C., Islamic Azad University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Hashemi</surname>
		<given-names>Pooyan </given-names>
	</name>
	<aff>Institute of Communications, Transportation and Logistics, ST.C., Islamic Azad University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>22</day>
        <month>03</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Evaluating and Selecting Suppliers in the Setareh Flour Milling Company Supply Chain Using Clustering Techniques</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			One of the most important factors in survival of an organization in today's competitive environment is to reduce production costs. Choosing the right suppliers can help us reduce these costs. The selection and assessment of suppliers is a multi-criteria decision-making process, in which quantitative and qualitative criteria are presented in this assessment, our goal in this article is to first compile all the criteria that organizations are conducting in evaluating and The best choice is to help, and in the future, an algorithm that determines the number of clusters of suppliers and then supplies the suppliers in their clusters, in the end is a case study in which to evaluate and select the supply The Setareh flour milling company will review the payment.
		</p>
		</abstract>
    </article-meta>
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